{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "data breach", "trigger": true, "arguments": ["time", "number of victim", "attack pattern", "damage amount", "compromised data", "purpose", "place", "victim"]}, {"event_type": "phishing", "trigger": true, "arguments": ["attacker", "tool", "place", "damage amount", "purpose", "victim", "trusted entity", "time", "attack pattern"]}, {"event_type": "ransom", "trigger": true, "arguments": ["attack pattern", "payment method", "victim", "price", "time", "attacker", "place", "tool", "damage amount"]}, {"event_type": "patch vulnerability", "trigger": true, "arguments": ["releaser", "time", "supported platform", "patch number", "issues addressed", "vulnerability", "patch", "common vulnerabilities and exposures"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["vulnerable system owner", "vulnerable system version", "supported platform", "common vulnerabilities and exposures", "discoverer", "capabilities", "vulnerability", "vulnerable system"]}], "input": "They send out mass texts and emails to customers – many of whom identify themselves as TSB ’s customers in increasingly irate social media posts – with links to legitimate - sounding but fraudulent websites ."}
{"data breach": [], "phishing": [{"trigger": "send out", "arguments": {"attacker": "They", "tool": ["mass texts", "links", "fraudulent websites", "emails"], "place": "NAN", "damage amount": "NAN", "purpose": "NAN", "victim": ["TSB", "customers"], "trusted entity": "NAN", "time": "NAN", "attack pattern": "NAN"}}], "ransom": [], "patch vulnerability": [], "discover vulnerability": []}